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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Engineer

Nexus Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Nexus Horizon is at the forefront of the generative AI revolution. We are seeking a visionary Senior AI Engineer to join our elite R&D team and help build the next generation of intelligent systems.

In this role, you will have the opportunity to work on cutting-edge large language models, optimize deep learning infrastructure, and deploy scalable AI solutions that impact millions of users worldwide. If you are passionate about pushing the boundaries of what is possible with artificial intelligence, we want to hear from you.

Why Join Us?

  • Competitive salary and equity package.
  • Flexible remote-first policy with co-working spaces in SF.
  • Access to state-of-the-art computing resources.
  • Continuous learning and development budget.

Responsibilities

  • Design, develop, and optimize deep learning models and machine learning pipelines for production environments.
  • Conduct research to advance the state-of-the-art in Natural Language Processing (NLP) and Computer Vision.
  • Collaborate with cross-functional teams of engineers, product managers, and researchers to translate business requirements into technical solutions.
  • Implement and maintain MLOps infrastructure to ensure model scalability, reliability, and monitoring.
  • Debug complex technical issues and mentor junior engineers to foster a culture of technical excellence.
  • Stay abreast of the latest advancements in AI research and integrate relevant findings into our product roadmap.

Qualifications

  • PhD or Master's degree in Computer Science, Mathematics, Statistics, or a related field.
  • 5+ years of professional experience in AI/ML engineering or research.
  • Strong proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
  • Deep understanding of machine learning algorithms, statistical modeling, and data structures.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Excellent communication skills and the ability to articulate complex technical concepts to non-technical stakeholders.
  • Proven track record of deploying AI models that drive measurable business impact.

Required Skills

Python PyTorch TensorFlow NLP Machine Learning Deep Learning MLOps AWS Docker Kubernetes SQL

Ready to Take This Challenge?

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